S. Hanchi

48 total papers · 587 total citations
33 papers, 444 citations indexed

About

S. Hanchi is a scholar working on Computational Mechanics, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, S. Hanchi has authored 33 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computational Mechanics, 12 papers in Aerospace Engineering and 9 papers in Control and Systems Engineering. Recurrent topics in S. Hanchi's work include Fluid Dynamics and Turbulent Flows (11 papers), Robotic Path Planning Algorithms (9 papers) and Fluid Dynamics and Vibration Analysis (8 papers). S. Hanchi is often cited by papers focused on Fluid Dynamics and Turbulent Flows (11 papers), Robotic Path Planning Algorithms (9 papers) and Fluid Dynamics and Vibration Analysis (8 papers). S. Hanchi collaborates with scholars based in Algeria, France and United States. S. Hanchi's co-authors include Taha Chettibi, M. Haddad, H.E. Lehtihet, Laurent Keirsbulck, L. Labraga, Mohand Tazerout, Mohand Said Lounici, Khaled Loubar, Lyes Tarabet and A. Alemany and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and AIAA Journal.

In The Last Decade

S. Hanchi

33 papers receiving 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
S. Hanchi	252	183	116	114	97	33	444
Belkacem Kada	166 0.7×	52 0.3×	131 1.1×	73 0.6×	102 1.1×	40	443
Myoung-Jun Kim	120 0.5×	144 0.8×	82 0.7×	131 1.1×	60 0.6×	44	432
Feng Gao	42 0.2×	65 0.4×	172 1.5×	116 1.0×	49 0.5×	35	427
Shuanggao Li	130 0.5×	116 0.6×	62 0.5×	52 0.5×	54 0.6×	53	373
Yong Wang	71 0.3×	133 0.7×	140 1.2×	45 0.4×	95 1.0×	26	414
Amir Hajiloo	126 0.5×	65 0.4×	75 0.6×	87 0.8×	27 0.3×	21	401
Curtis Collins	303 1.2×	129 0.7×	84 0.7×	26 0.2×	106 1.1×	25	490
Boris Rohal’-Ilkiv	305 1.2×	27 0.1×	55 0.5×	34 0.3×	30 0.3×	62	452
Yue Wang	334 1.3×	27 0.1×	101 0.9×	28 0.2×	44 0.5×	27	491
Amruta Rout	114 0.5×	109 0.6×	34 0.3×	32 0.3×	61 0.6×	26	406

Countries citing papers authored by S. Hanchi

Since Specialization

Citations

This map shows the geographic impact of S. Hanchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Hanchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Hanchi more than expected).

Fields of papers citing papers by S. Hanchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Hanchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Hanchi. The network helps show where S. Hanchi may publish in the future.

Co-authorship network of co-authors of S. Hanchi

This figure shows the co-authorship network connecting the top 25 collaborators of S. Hanchi. A scholar is included among the top collaborators of S. Hanchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Hanchi. S. Hanchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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